{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fn = 'LAL-iterativetree-simulated2Gauss2dim.npz'\n",
    "filename = './lal datasets/'+fn\n",
    "regression_data = np.load(filename)\n",
    "regression_features = regression_data['arr_0']\n",
    "regression_labels1 = regression_data['arr_1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(180000,)\n"
     ]
    }
   ],
   "source": [
    "print(np.shape(regression_labels1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "36.0"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "180000/5000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.217  ,  0.02825, -0.53225, ...,  0.0235 ,  0.0285 ,  0.03275])"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regression_labels1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc435921978>]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiYAAAFkCAYAAAAUtvC8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc435978f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(regression_labels1, '.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "fn = 'LAL-iterativetree-simulatedunbalanced-big.npz'\n",
    "filename = '../17 - generic LAL dataset generation/lal datasets/'+fn\n",
    "regression_data = np.load(filename)\n",
    "regression_features = regression_data['arr_0']\n",
    "regression_labels = regression_data['arr_1']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.217  ,  0.02825, -0.53225, ...,  0.00325,  0.00725,  0.0055 ])"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regression_labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fc4359bd630>]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAiYAAAFkCAYAAAAUtvC8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nKw0nJmZmZlYa/w+mMxv/9F13IwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fc43599e2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(regression_labels, '.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(240000,)"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regression_labels.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.allclose(regression_labels[:10000], regression_labels1[:10000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
